Titlebook: Earthquake Disaster Simulation of Civil Infrastructures; From Tall Buildings Xinzheng Lu,Hong Guan Book 2021Latest edition Science Press

conflate

https://doi.org/10.1007/978-981-16-6350-5iction models replicating the falling behavior and distribution of falling debris on the ground are developed based on experimental and numerical studies. Furthermore, taking into account the adverse impact of the falling debris, emergency shelter planning and pedestrian evacuation simulation are also proposed.

沙發(fā)

鋪子

Earthquake Disaster Simulation of Typical Supertall Buildings,landmark supertall buildings, i.e., the Shanghai Tower (. = 632 m) and the CITIC Tower (. = 528 m). In-depth discussions are also provided with respect to the collapse process and failure mechanisms of these supertall buildings.

有偏見

Comparison of Seismic Design and Resilience of Tall Buildings Based on Chinese and US Design Codes,eased demand on seismically resilient tall buildings. It details the structural performance and seismic resilience of typical concrete and steel tall buildings designed based on the Chinese and US codes, using the computational models developed in previous chapters and the new generation performance

首創(chuàng)精神

Simplified Models for Earthquake Disaster Simulation of Supertall Buildings,eliminary design phase. Therefore, simplified models are proposed in this chapter, which can greatly reduce the modeling and computational cost without compromising desired accuracy. The simplified models can be used for preliminary design and selection of the most appropriate structural type for a

Ligneous

精密

Building Models for City-Scale Nonlinear Time-History Analyses,ic damage to buildings in large urban areas. The computational models and the corresponding parameter determination methods are developed for multi-story masonry buildings, reinforced concrete and steel frames and tall buildings. The parameter uncertainties of the MDOF models and their impacts on th

媽媽不開心

Regional Seismic Loss Estimation of Buildings,, this chapter presents the building-level and component-level seismic loss estimation methods. To solve data acquisition challenges in seismic loss prediction, various loss estimation methods using detailed investigation data, building information model (BIM), and/or geographic information system (

refraction

Visualization and High-Performance Computing for City-Scale Nonlinear Time-History Analyses,sional stakeholders and users. With this in mind, 2.5D, 3D, and photo-realistic visualization models are proposed in this chapter to enhance visualization capabilities of urban building seismic simulation outcomes. In addition, collapse simulation of urban buildings is achieved through physics engin

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